Senior Data Analyst – Financial Crime Data Strategy

Nordea Group

Województwo świętokrzyskie

Hybrid

PLN 180,000 - 240,000

Full time

36 hours ago
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Benefits offered by this job

Hybrid working model
Diversity and inclusion

Job summary

Nordea Bank Abp in Poland is seeking a Senior Data Analyst for Financial Crime Data to help shape the 2030 GFCP data strategy. You will combine analytical depth with knowledge of the Nordea data landscape to enable data sourcing, quality, and scalable solutions across GFCP domains.

You will translate business needs into technical requirements, collaborate with data stakeholders, and build a single reliable data foundation that supports risk management and smarter decisions in a hybrid work

Qualifications

  • Strong analytical and numerical capabilities with a structured approach to problem-solving.
  • Clear communication and presentation skills to engage stakeholders.
  • Good understanding of data flows, transformations, and data lineage.
  • Experience translating business needs into scalable data solutions.

Responsibilities

  • Develop understanding of Nordea data landscape and upstream data flows.
  • Act as a link between GFCP data domains and upstream providers.
  • Identify efficiencies for sourcing, transforming, and managing data.
  • Analyse large datasets to drive data-driven decisions on sourcing and usage.
  • Translate business needs into practical technical requirements.

Skills

Analytical thinking
Problem solving
Stakeholder collaboration
Data storytelling

Education

Bachelor's or Master’s degree in a relevant field

Tools

SQL
Python/R
Data visualization tools

Job description

Nordea Bank Abp in Poland is seeking a Senior Data Analyst for Financial Crime Data to help shape the 2030 GFCP data strategy. You will combine analytical depth with knowledge of the Nordea data landscape to enable data sourcing, quality, and scalable solutions across GFCP domains.

You will translate business needs into technical requirements, collaborate with data stakeholders, and build a single reliable data foundation that supports risk management and smarter decisions in a hybrid work

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